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A New Insight into the Risk of Gaseous Release Assessment Based on a Minimax Approach
Anghel, C. I. and Ozunu, A. A New Insight into the Risk of Gaseous Release Assessment Based on a Minimax Approach Chemical Papers, Vol.59, No. 6b, 2005, 469-475
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Document type:
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Článok z časopisu / Journal Article |
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Collection:
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Chemical papers
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| Attached Files |
| Name |
Description |
MIMEType |
Size |
Downloads |
n596ba469.pdf
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596ba469.pdf |
application/pdf |
221.62KB |
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| Author(s) |
Anghel, C. I.
Ozunu, A.
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| Title |
A New Insight into the Risk of Gaseous Release Assessment Based on a Minimax Approach
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| Journal name |
Chemical Papers
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| Publication date |
2005
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| Year available |
2005
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| Volume number |
59
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| Issue number |
6b
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| ISSN |
0366-6352
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| Start page |
469
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| End page |
475
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| Place of publication |
Poland
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| Publisher |
Versita
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| Collection year |
2005
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| Language |
english
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| Subject |
290000 Engineering and Technology
290900 Electrical and Electronic Engineering
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| Abstract/Summary |
An alternative method of the risk assessment for pollutant gas release based on artificial intelligence approach is presented. In principle the method is a pattern recognition developed as a linear discriminative classification problem related as a Minimax approach. This procedure has the ability to estimate both the dispersion of pollutant emission and the probabilistic certainty of these values. A simplified numerical experiment, prediction of the sulphur dioxide concentration from a smokestack, was carried out either using the proposed algorithm implemented in MATLAB package, or a specialized software package SLAB View. Both analyses produced reasonably accurate results. However, the proposed method was able to estimate both dispersion of the pollutant emission and a probabilistic certainty of this value.
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